Business

Machine Learning startup DataRPM accepted to Microsoft’s Seattle accelerator program

Machine Learning and analytics company DataRPM joins nine other later-stage startups in being accepted for Microsoft’s Machine Learning and Data Science Accelerator in Seattle.

Award-winning predictive analytics company DataRPM has been selected to Microsoft’s 4th generation of its prestigious Seattle Machine Learning Accelerator Program.

Ten companies were selected overall from hundreds of applicants across the United States. Apart from making giant strides in disrupting the machine learning industry, the criteria for the accelerator took into consideration startups that have received an average $5.3 million in funding and $3 million in annual recurring revenue.

DataRPM will now gain access to top business mentors, tech and marketing experts, office space and resources to help them build their company.

Microsoft’s accelerator program runs for four months and is focused on improving startup products, refining pitches, and sharpening marketing skills, as well as attracting investors and networking.

The Machine Learning and big data company out of Redwood City, CA is focused on delivering the next generation predictive maintenance solutions for the Industrial Internet of Things (IIoT).

According to IoT Agenda, “The driving philosophy behind the IIoT is that smart machines are better than humans at accurately, consistently capturing and communicating data.”

DataRPM delivers the industry’s only Cognitive Predictive Maintenance (CPdM) platform for Industrial IoT. The platform uses patent pending Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures.

“By using data that connected machines provide to measure damage, wear and tear, and other indicators of operational success, unprecedented insight into machine health is changing popular methods of maintenance,” reported IoTTech News.

The automatic predictive maintenance of DataRPM is powered by its “Algorithmic survival of the fittest” model, which offers powerful insights through its API framework and identifies the key features, patterns, and anomalies from noisy data.

The company’s revolutionary offerings is what earned DataRPM its place among the 10 startups chosen for Microsoft’s accelerator program as it continues to shape the future of machine learning.

Tim Hinchliffe

The Sociable editor Tim Hinchliffe covers tech and society, with perspectives on public and private policies proposed by governments, unelected globalists, think tanks, big tech companies, defense departments, and intelligence agencies. Previously, Tim was a reporter for the Ghanaian Chronicle in West Africa and an editor at Colombia Reports in South America. These days, he is only responsible for articles he writes and publishes in his own name. tim@sociable.co

View Comments

Recent Posts

US wants digital ID for patients, providers & payers

Trump says the system will be 'entirely opt-in,' but HHS is looking to encourage, require…

14 hours ago

Why a proactive approach to threat exposure pays dividends 

Over the past year, not only has the frequency of cyberattacks skyrocketed across all industries…

20 hours ago

What Triggered Trump’s Outburst Against Stephen Colbert?

My favorite English teacher got fired. It was during the pre-Late-Show era that Colbert helped…

2 days ago

Is the U.S. Orchestrating the Biggest IPO the World Has Ever Seen?

Placing stablecoins under the purview of the U.S. regulatory system and Treasury was just the…

2 days ago

Circular economy is not compatible with rentier capitalism: Club of Rome

Life-as-a-Subscription: Malthusians are trading rentier capitalism for a stakeholder capitalism-run circular economy where you'll still…

3 days ago

Pentagon looks to acquire generative AI for influence activities: RAND

With the Pentagon's acquisition of deepfake capabilities & history of assisting Hollywood, distinguishing PSYOPs will…

4 days ago